Name Waris Radji
Age 19 Years
Location France, Paris
Programming Languages : Scala, Python, Java, C, Bash
AI / Machine Learning : Spark MLLIB, Scikit-Learn, Smile
Big Data & Stat Tool : Apache Spark, NumPy, SciPy, Pandas, SQL
Visualization : D3.js, Matplotlib, Plotly
Natural Language Processing : Wit.ai, DialogFlow, NLTK
Web Automation : BeautifulSoup, Selenium, JSoup
Documents : MarkDown, LaTeX, Jupyter Notebook, Office Suite
Graphics : Adobe Creative Suite, InkScape
Street Workout (High Level)
Writing (see my website)
Skilled in Scala and Data Science, looking for a 10-14 weeks internship position in R&D. Coming with the ability to develop efficient software and also to help scientists perform operations when assigned.
Laboratoire d'Informatique de Paris-Nord (LIPN – CNRS UMR 7030)
Use of data visualization libraries, Apache Spark and Binder technology to develop interactive notebooks (in Scala with BeakerX). Supervised by Dr. Mustapha Lebbah.
Implementation of Ant-Tree (a bio inspired and unsupervised learning algorithm c) in Scala to integrate it into the Clustering4Ever library developed by the A3 team (founder: Dr. Gaël Beck). https://github.com/Clustering4Ever/
Université Paris 13 (IUT de Villetaneuse)
A cloud-based IDE creates for the modeling and integration language Orcha. Designer and lead developer in a team of 4 people. Taught me web application development.
Develop in 48 hours a solution to record the key stages of the child's life on the Blockchain. Following the agile methods, I developed part of the Node.js back-end and wrote Solidity smart contracts to deploy them on the Ethereum Blockchain.
3 successive 8-hour tests, on modern and promising themes: AI, web-app and computer security. I learned team and time management. I was mainly active on the IA part (Designing a solution) and on the security part (BruteForce).
Simulation of intelligent ants colonies looking for the shortest path to a food source. Lead developer supported by some collaborators on Github.
Based on decision trees, generate fitness programs, according to a customer's needs and characteristics. I realized this project in order to apply my knowledge in Machine Learning.